Welcome!

Mobile IoT Authors: AppDynamics Blog, Pat Romanski, William Schmarzo, Liz McMillan, Elizabeth White

Blog Feed Post

Digital Transformation, Innovation, Optimization, and Disruption: Spin the Dial

Imagine for a moment you’re in the woods, trying to climb to the top of a nearby mountain – only you’ve lost your way, and you’re not sure where the mountain is. So you get the bright idea: simply walk uphill until you can’t walk uphill any more. At that point you’ll be at the top of the mountain, right?

The answer, of course, is perhaps, but probably not – and in any case, the strategy of always walking uphill is an unquestionably poor technique for finding your way to the top of a mountain, given the unpredictable nature of the terrain. After all, this strategy will simply take you to the top of a nearby hill. Only if you’re exceptionally lucky will that hill end up being the mountain you’re looking for.

This hill-climbing story illustrates the problem of local optima: any optimization strategy that focuses on improving the current situation may not lead to the best solution. So, how do you find the best solution? Well, it depends. Perhaps you can see the mountain from where you are, but perhaps not. Maybe you simply have to RTFM (read the frickin’ map), assuming you have one, and you can identify your current location. Or perhaps you should set off in a random direction for a random amount of time, see where you end up, and then try going uphill – repeating as often as necessary. Eventually you’re bound to hit upon the mountain, right? Bottom line: there is no straightforward answer.

The reason this Cortex is spending time climbing mountains is because the local optima problem affects most Digital Transformation initiatives, since the majority of such initiatives are centered on some kind of optimization activity: optimize the customer experience, or optimize the integration of Web and mobile, or optimize the organization’s use of social media, etc.

If you set a goal based upon starting where you are today and heading in a direction that will improve the current situation, you will likely reach a local optimum. But it probably won’t be the true optimal strategy, because, of course, some competitor will end up beating you to the top of that mountain – a mountain you may not have even known about until it’s too late.

Nevertheless, managers love optimization strategies, because they lead to positive business outcomes, and positive business outcomes lead to cash bonuses. And after all, labeling such optimizations as Digital Transformations is generally accurate, as you are using digital technologies to change your business somehow. But we’re still missing a big part of the transformation picture: disruption.

Disruptions shake up the status quo in some unpredictable direction, much like the random walk approach to finding the mountain peak. They can help you avoid the problem of local optima, but even so, there’s no telling if they will take you any closer to your goal. The challenge for Digital Transformation initiatives, therefore, is to leverage – or even introduce – disruptions in a way that will actually help you find that highest mountaintop.

But disruptions are inherently unpredictable and risky. External disruptions – sudden changes in the marketplace, geopolitical environment, available technology, etc. can occur at any time, and even internal disruptions, including reorganizations, changing management policies, new management, etc., can lead to unpredictable results. What’s a risk-adverse manager to do?

Intuition tells us that disruptive transformations are potentially much more likely to help us achieve our strategic goals than optimization transformations, even though they appear to be much higher risk. Do we stick to optimizations, comfortable in the business outcomes we can achieve, even though we may miss the mountaintop? Or do we place a bet on a disruptive transformation, even though it feels like a plunge into chaos? Perhaps we have no choice, as an external disruption may force us to take the riskier path. How do we manage our Digital Transformation then?

Enter Complex Systems Theory

Some background: Complex Adaptive Systems are self-organizing systems of systems that exhibit emergent properties, which are properties of the system as a whole that aren’t properties of the component subsystems. The central principle to all of Intellyx’s research is that the enterprise is a complex system consisting of people and technology subsystems, and business agility is an emergent property of the organization as complex system. The challenge of Agile Architecture, therefore, is influencing people and technology in such a way as to achieve business agility, rather than the chaotic behavior that large organizations typically exhibit.

Many natural phenomena can be explained in terms of emergent behavior, from the construction of beehives to the effects of DNA. The analogue in nature we’ll use in this Cortex is the power of natural selection that enables species to adapt to changing environments.

As complex systems consist of component systems and their relationships, we can think of such systems as networks. In the case of evolution, the components are individual creatures in an ecosystem; for us, the components are people and technology systems. Sometimes the connections (or edges, in network-speak) between components are tight, for example, within family groups, or loose, as they might be between different groups. In the case of an enterprise, tight connections between people include hierarchical reporting structures, behaviors that result from formal governance policies, etc., while loose connections would refer to interactions between people in different teams or in different parts of an organization. Similarly, tight connections between technology systems would include traditional integrations between systems, while loose connections indicate interactions between loosely coupled systems that are architected properly for inherent flexibility.

Shifting a system from high connectivity to low connectivity increases evolutionary change. Furthermore, disruptions also lead to increasing rates of evolutionary change, in particular when the system exhibits low connectivity. Such change leads to adaptation to the disruptions in the environment, so combining low connectivity with disruptions leads to periods of rapid innovation and adaptation. However, when a system retains its high connectivity during periods of disruption, that system is less likely to evolve, and thus won’t adapt to the change. Extinction, of course, is the eventual result.

The lessons here for enterprises seeking Digital Transformation are straightforward. In order to foster high levels of innovation that lead to adaptation to both internal and external disruption (in other words, behavior that gets you to the top of the mountain), you must foster an organization with low connectivity and furthermore, give them flexible, loosely coupled technology tools. In such environments, teams have the leeway to self-organize, and their innate creativity will foster innovations that will lead over time to the best solutions. And the role of management in this process? Give people the right tools and get out of their way.

The Adaptive Flexibility Matrix

For our Digital Transformation efforts to be successful at achieving our strategic goals (as opposed to optimizing for short-term business outcomes), we must embrace disruption, loosen the connections between people and take steps to make our technology loosely-coupled and flexible. Such transformation is a tall order to be sure, and many organizations seeking it drop the ball in one way or another, as shown in the chart below.

Flexibility chart

Adaptive Flexibility in Digital Transformation Initiatives (click for larger version)

The chart above maps both technology and people in an organization from less flexible to more flexible. If neither are flexible, of course, then transformation is impossible, and you’re stuck in the lower left corner.

One mistake companies make as they try to get out of this corner is to focus on building or buying more flexible technology, without going through the more difficult cultural and organizational shifts that lead to more flexible people. Such companies move across the bottom of the chart from left to right, and end up with “tone deaf” digital efforts – yes, they may have mobile interfaces and social media, but perhaps their mobile technology isn’t responsive, their social media strategy puts off or angers customers, or they drop the ball on the human side of Digital Transformation in some other way.

Another common mistake is to undergo a digital initiative in the face of inflexible technology: moving from lower left to upper left on the chart. In these organizations the digital team leaves the recalcitrant tech behind, separating the digital efforts from traditional IT – which leads to dangerous pitfalls for any digital effort.

The reason why successful Digital Transformation initiatives are so deceptively difficult is that organizations must change along both axes at once in order to achieve the upper right hand corner, which has all the elements the complex system of the enterprise requires to build innovative, self-organizing teams that can both respond to disruption and leverage it for competitive advantage – in other words, achieve the business agility that drives all true transformation.

The Intellyx Take

If you understand how with the proper initial parameters, complex systems can lead to high levels of adaptive innovation in times of increased disruption, then the argument in this Cortex makes complete sense. However, it is deeply counterintuitive when you place it into the context of traditional management approaches.

Unfortunately, much of the Digital Transformation thought leadership available today comes from management consultants, who spend much of their time advising executives. “Digital maturity requires strong leadership to drive change!” trumpets MIT Sloan Review. “Successful [Digital Transformation] does not happen bottom up. It must be driven from the top!” exclaims Capgemini (exclamation points added, but boldface was all theirs). Such consultants have that perspective, of course, because they have to present a story executives are comfortable with.

In contrast, this Cortex should make traditionally-minded executives (namely, the ones who purchase management consulting) extraordinarily uncomfortable. Stop managing hierarchically. Instead, spin off autonomous, self-organizing teams. Don’t fear disruption. Instead, embrace and drive disruption. Change reporting structures. Move people around. Rethink governance. Revamp HR policies and procedures. Get rid of all the scar tissue in the organization that is getting in the way of innovation. Let people self-organize and let them figure out how to adapt to disruption on their own. The leadership we really need is likely to be quite different than the leadership the consultants are talking about.

To old guard executives, this approach sounds like a recipe for chaos. However, complex systems theory has a whole chapter on chaos as well, and the old guard has it backwards. In fact, chaos describes the status quo at most large enterprises – bureaucracy, empire building, the absence of a single source of truth, inflexible legacy technology, and rigid processes that stifle the best and brightest. Instead, this Agile Architecture approach leads to emergence – business agility in the face of any disruption, self-organization that leads to adaptation and drives innovation. Isn’t that the Digital Transformation you’re really looking for?

Image credit: ThenAndAgain

Read the original blog entry...

More Stories By Jason Bloomberg

Jason Bloomberg is the leading expert on architecting agility for the enterprise. As president of Intellyx, Mr. Bloomberg brings his years of thought leadership in the areas of Cloud Computing, Enterprise Architecture, and Service-Oriented Architecture to a global clientele of business executives, architects, software vendors, and Cloud service providers looking to achieve technology-enabled business agility across their organizations and for their customers. His latest book, The Agile Architecture Revolution (John Wiley & Sons, 2013), sets the stage for Mr. Bloomberg’s groundbreaking Agile Architecture vision.

Mr. Bloomberg is perhaps best known for his twelve years at ZapThink, where he created and delivered the Licensed ZapThink Architect (LZA) SOA course and associated credential, certifying over 1,700 professionals worldwide. He is one of the original Managing Partners of ZapThink LLC, the leading SOA advisory and analysis firm, which was acquired by Dovel Technologies in 2011. He now runs the successor to the LZA program, the Bloomberg Agile Architecture Course, around the world.

Mr. Bloomberg is a frequent conference speaker and prolific writer. He has published over 500 articles, spoken at over 300 conferences, Webinars, and other events, and has been quoted in the press over 1,400 times as the leading expert on agile approaches to architecture in the enterprise.

Mr. Bloomberg’s previous book, Service Orient or Be Doomed! How Service Orientation Will Change Your Business (John Wiley & Sons, 2006, coauthored with Ron Schmelzer), is recognized as the leading business book on Service Orientation. He also co-authored the books XML and Web Services Unleashed (SAMS Publishing, 2002), and Web Page Scripting Techniques (Hayden Books, 1996).

Prior to ZapThink, Mr. Bloomberg built a diverse background in eBusiness technology management and industry analysis, including serving as a senior analyst in IDC’s eBusiness Advisory group, as well as holding eBusiness management positions at USWeb/CKS (later marchFIRST) and WaveBend Solutions (now Hitachi Consulting).

@ThingsExpo Stories
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases. In his general session at @ThingsExpo, Dave McCarthy, Director of Products...
Ask someone to architect an Internet of Things (IoT) solution and you are guaranteed to see a reference to the cloud. This would lead you to believe that IoT requires the cloud to exist. However, there are many IoT use cases where the cloud is not feasible or desirable. In his session at @ThingsExpo, Dave McCarthy, Director of Products at Bsquare Corporation, will discuss the strategies that exist to extend intelligence directly to IoT devices and sensors, freeing them from the constraints of ...
WebRTC is bringing significant change to the communications landscape that will bridge the worlds of web and telephony, making the Internet the new standard for communications. Cloud9 took the road less traveled and used WebRTC to create a downloadable enterprise-grade communications platform that is changing the communication dynamic in the financial sector. In his session at @ThingsExpo, Leo Papadopoulos, CTO of Cloud9, discussed the importance of WebRTC and how it enables companies to focus...
The best-practices for building IoT applications with Go Code that attendees can use to build their own IoT applications. In his session at @ThingsExpo, Indraneel Mitra, Senior Solutions Architect & Technology Evangelist at Cognizant, provided valuable information and resources for both novice and experienced developers on how to get started with IoT and Golang in a day. He also provided information on how to use Intel Arduino Kit, Go Robotics API and AWS IoT stack to build an application tha...
Is your aging software platform suffering from technical debt while the market changes and demands new solutions at a faster clip? It’s a bold move, but you might consider walking away from your core platform and starting fresh. ReadyTalk did exactly that. In his General Session at 19th Cloud Expo, Michael Chambliss, Head of Engineering at ReadyTalk, will discuss why and how ReadyTalk diverted from healthy revenue and over a decade of audio conferencing product development to start an innovati...
With an estimated 50 billion devices connected to the Internet by 2020, several industries will begin to expand their capabilities for retaining end point data at the edge to better utilize the range of data types and sheer volume of M2M data generated by the Internet of Things. In his session at @ThingsExpo, Don DeLoach, CEO and President of Infobright, discussed the infrastructures businesses will need to implement to handle this explosion of data by providing specific use cases for filterin...
Early adopters of IoT viewed it mainly as a different term for machine-to-machine connectivity or M2M. This is understandable since a prerequisite for any IoT solution is the ability to collect and aggregate device data, which is most often presented in a dashboard. The problem is that viewing data in a dashboard requires a human to interpret the results and take manual action, which doesn’t scale to the needs of IoT.
So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, provided tips on how to be successful in large scale machine learning...
What does it look like when you have access to cloud infrastructure and platform under the same roof? Let’s talk about the different layers of Technology as a Service: who cares, what runs where, and how does it all fit together. In his session at 18th Cloud Expo, Phil Jackson, Lead Technology Evangelist at SoftLayer, an IBM company, spoke about the picture being painted by IBM Cloud and how the tools being crafted can help fill the gaps in your IT infrastructure.
"C2M is our digital transformation and IoT platform. We've had C2M on the market for almost three years now and it has a comprehensive set of functionalities that it brings to the market," explained Mahesh Ramu, Vice President, IoT Strategy and Operations at Plasma, in this SYS-CON.tv interview at @ThingsExpo, held June 7-9, 2016, at the Javits Center in New York City, NY.
"delaPlex is a software development company. We do team-based outsourcing development," explained Mark Rivers, COO and Co-founder of delaPlex Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Whether your IoT service is connecting cars, homes, appliances, wearable, cameras or other devices, one question hangs in the balance – how do you actually make money from this service? The ability to turn your IoT service into profit requires the ability to create a monetization strategy that is flexible, scalable and working for you in real-time. It must be a transparent, smoothly implemented strategy that all stakeholders – from customers to the board – will be able to understand and comprehe...
Traditional IT, great for stable systems of record, is struggling to cope with newer, agile systems of engagement requirements coming straight from the business. In his session at 18th Cloud Expo, William Morrish, General Manager of Product Sales at Interoute, outlined ways of exploiting new architectures to enable both systems and building them to support your existing platforms, with an eye for the future. Technologies such as Docker and the hyper-convergence of computing, networking and sto...
SYS-CON Events announced today that LeaseWeb USA, a cloud Infrastructure-as-a-Service (IaaS) provider, will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. LeaseWeb is one of the world's largest hosting brands. The company helps customers define, develop and deploy IT infrastructure tailored to their exact business needs, by combining various kinds cloud solutions.
The cloud market growth today is largely in public clouds. While there is a lot of spend in IT departments in virtualization, these aren’t yet translating into a true “cloud” experience within the enterprise. What is stopping the growth of the “private cloud” market? In his general session at 18th Cloud Expo, Nara Rajagopalan, CEO of Accelerite, explored the challenges in deploying, managing, and getting adoption for a private cloud within an enterprise. What are the key differences between wh...
It’s 2016: buildings are smart, connected and the IoT is fundamentally altering how control and operating systems work and speak to each other. Platforms across the enterprise are networked via inexpensive sensors to collect massive amounts of data for analytics, information management, and insights that can be used to continuously improve operations. In his session at @ThingsExpo, Brian Chemel, Co-Founder and CTO of Digital Lumens, will explore: The benefits sensor-networked systems bring to ...
SYS-CON Events announced today the Enterprise IoT Bootcamp, being held November 1-2, 2016, in conjunction with 19th Cloud Expo | @ThingsExpo at the Santa Clara Convention Center in Santa Clara, CA. Combined with real-world scenarios and use cases, the Enterprise IoT Bootcamp is not just based on presentations but with hands-on demos and detailed walkthroughs. We will introduce you to a variety of real world use cases prototyped using Arduino, Raspberry Pi, BeagleBone, Spark, and Intel Edison. Y...
Large scale deployments present unique planning challenges, system commissioning hurdles between IT and OT and demand careful system hand-off orchestration. In his session at @ThingsExpo, Jeff Smith, Senior Director and a founding member of Incenergy, will discuss some of the key tactics to ensure delivery success based on his experience of the last two years deploying Industrial IoT systems across four continents.
Much of IT terminology is often misused and misapplied. Modernization and transformation are two such terms. They are often used interchangeably even though they mean different things and have very different connotations. Indeed, it is somewhat safe to assume that in IT any transformative effort is likely to also have a modernizing effect, and thus, we can see these as levels of improvement efforts. However, many businesses are being led to believe if they don’t transform now they risk becoming ...